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Hadoop: The Definitive Guide (c) by O'Reilly Media, Inc.

The type of the release is: eBook
In the PDF format with ISBN: 0596521979 and Pub Date: June 16, 2009
The size of the release is: 02 disks x 2.88mb
And released on: 06/29/2009


Hadoop: The Definitive Guide helps you harness the power of your data.
Ideal for processing large datasets, the Apache Hadoop framework is an
open source implementation of the MapReduce algorithm on which Google
built its empire. This comprehensive resource demonstrates how to use
Hadoop to build reliable, scalable, distributed systems: programmers
will find details for analyzing large datasets, and administrators will
learn how to set up and run Hadoop clusters. Complete with case studies
that illustrate how Hadoop solves specific problems, this book helps
you:
Use the Hadoop Distributed File System (HDFS) for storing large
datasets, and run distributed computations over those datasets using
MapReduce Become familiar with Hadoop's data and I/O building blocks for
compression, data integrity, serialization, and persistence Discover
common pitfalls and advanced features for writing real-world MapReduce
programs Design, build, and administer a dedicated Hadoop cluster, or
run Hadoop in the cloud Use Pig, a high-level query language for
large-scale data processing Take advantage of HBase, Hadoop's database
for structured and semi-structured data Learn ZooKeeper, a toolkit of
coordination primitives for building distributed systems If you have
lots of data -- whether it's gigabytes or petabytes -- Hadoop is the
perfect solution. Hadoop: The Definitive Guide is the most thorough book
available on the subject. "Now you have the opportunity to learn about
Hadoop from a master-not only of the technology, but also of common
sense and plain talk." -- Doug Cutting, Hadoop Founder, Yahoo!

http://www.amazon.com/exec/obidos/tg/detail/-/0596521979/